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Future Medicinal Chemistry Volume 15, 2023 - Issue 18
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Editorial

Current In Silico Methods for Multi-Target Drug Discovery in Early Anticancer Research: The Rise of the Perturbation-Theory Machine Learning Approach

Valeria V Kleandrova1 LAQV@REQUIMTE/Department of Chemistry & BiochemistryUniversity of PortoPorto4169-007PortugalORCID Iconhttps://orcid.org/0000-0002-1928-853X
ORCID Icon,
Maria Natália DS Cordeiro1 LAQV@REQUIMTE/Department of Chemistry & BiochemistryUniversity of PortoPorto4169-007PortugalORCID Iconhttps://orcid.org/0000-0003-3375-8670
ORCID Icon &
Alejandro Speck-Planche1 LAQV@REQUIMTE/Department of Chemistry & BiochemistryUniversity of PortoPorto4169-007PortugalCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-9544-9016
ORCID Icon
Pages 1647-1650 | Received 14 Aug 2023, Accepted 21 Aug 2023, Published online: 20 Sep 2023
 
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Author contributions

The manuscript was written with contributions from all authors. All authors gave approval to the final version of the manuscript.

Financial & competing interest disclosure

This work was financially supported by the Foundation for Science and Technology/the Ministry of Science, Technology and Higher Education of the Government of Portugal, through grant UIDB/50006/2020. The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript, apart from those disclosed.

No writing assistance was utilized in the production of this manuscript.

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